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Record W1968765115 · doi:10.1089/jpm.2011.0536

Pediatric Pain Management Education in Medical Students: Impact of a Web-Based Module

2012· article· en· W1968765115 on OpenAlexaff
Suzanne Ameringer, Deborah Fisher, Sue Sreedhar, Jessica M. Ketchum, Leanne Yanni

Bibliographic record

VenueJournal of Palliative Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsInstitute of Population and Public Health
Fundersnot available
KeywordsMedicineSpecialtyConfidence intervalLow ConfidenceFamily medicineMEDLINETest (biology)Pain managementPhysical therapyInternal medicinePsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Reports from the Institute of Medicine and American Medical Association's Pain and Palliative Medicine Specialty Section Council emphasize the need for pain management education in medical schools, yet training in pediatric pain management (PPM) is limited. In this pilot program, we evaluated the effectiveness of a web-based PPM module on knowledge, confidence, attitudes, and self-reported skills in medical students. METHODS: Third- and fourth-year medical students (n = 291) completed the module and a knowledge test. Of these students, 53 completed a pre- and postsurvey of confidence, attitudes, and self-reported skills and module evaluation. RESULTS: For the 291 students, knowledge scores increased significantly by 21.8 points (95% confidence interval [CI] = 19.7-23.8; p<0.001). The majority of scores on the survey items significantly increased postmodule, including: increase in confidence in assessing pain in pediatric patients (6% to 25%; p = 0.004), increase in responses of "strongly disagree" or "disagree" to the belief that opioids will delay diagnosis (62% to 85%; p = 0.005), and increase in responses of "frequently" or "very frequently" to "how often do you use behavioral instruments to assess pain severity?" (35% to 57%; p = 0.008). The majority reported they intend to make changes in behavior or practice (71%), and would recommend the module to fellow students (88%). CONCLUSION: This pilot program supports the effectiveness of a web-based module in improving knowledge, confidence, attitudes, and self-reported skills in PPM. Evaluation responses indicate high-quality content. Further evaluation for sustained impact is warranted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.394
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2012
Admission routes1
Has abstractyes

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